{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>data</th>\n",
       "      <th>Uniswap</th>\n",
       "      <th>Sushiswap</th>\n",
       "      <th>DODO</th>\n",
       "      <th>1inch</th>\n",
       "      <th>Balancer</th>\n",
       "      <th>Curve</th>\n",
       "      <th>airSwap</th>\n",
       "      <th>Linkswap</th>\n",
       "      <th>Mooniswap</th>\n",
       "      <th>...</th>\n",
       "      <th>DDEX</th>\n",
       "      <th>Clipper</th>\n",
       "      <th>PowerIndex</th>\n",
       "      <th>IndexedFinance</th>\n",
       "      <th>SmoothyFinance</th>\n",
       "      <th>Unifi</th>\n",
       "      <th>HashFlow</th>\n",
       "      <th>Aggregate</th>\n",
       "      <th>AMM</th>\n",
       "      <th>LOB</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>2019/1/1 0:00</td>\n",
       "      <td>9.734753e+05</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>3.960841e+07</td>\n",
       "      <td>9.734753e+05</td>\n",
       "      <td>3.863494e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>2019/2/1 0:00</td>\n",
       "      <td>1.197600e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>9.520394e+07</td>\n",
       "      <td>1.197600e+07</td>\n",
       "      <td>8.322794e+07</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>2019/3/1 0:00</td>\n",
       "      <td>1.669155e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.200412e+08</td>\n",
       "      <td>1.669155e+07</td>\n",
       "      <td>1.033497e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>2019/4/1 0:00</td>\n",
       "      <td>3.538797e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>1.852384e+08</td>\n",
       "      <td>3.538797e+07</td>\n",
       "      <td>1.498504e+08</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>2019/5/1 0:00</td>\n",
       "      <td>4.679524e+07</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>0.0</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>...</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>NaN</td>\n",
       "      <td>2.564029e+08</td>\n",
       "      <td>4.679524e+07</td>\n",
       "      <td>2.096076e+08</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "<p>5 rows × 43 columns</p>\n",
       "</div>"
      ],
      "text/plain": [
       "            data       Uniswap  Sushiswap  DODO  1inch  Balancer  Curve  \\\n",
       "0  2019/1/1 0:00  9.734753e+05        0.0   0.0    0.0       0.0    NaN   \n",
       "1  2019/2/1 0:00  1.197600e+07        0.0   0.0    0.0       0.0    NaN   \n",
       "2  2019/3/1 0:00  1.669155e+07        0.0   0.0    0.0       0.0    NaN   \n",
       "3  2019/4/1 0:00  3.538797e+07        0.0   0.0    0.0       0.0    NaN   \n",
       "4  2019/5/1 0:00  4.679524e+07        0.0   0.0    0.0       0.0    NaN   \n",
       "\n",
       "   airSwap  Linkswap  Mooniswap  ...  DDEX  Clipper  PowerIndex  \\\n",
       "0      NaN       NaN        NaN  ...   NaN      NaN         NaN   \n",
       "1      NaN       NaN        NaN  ...   NaN      NaN         NaN   \n",
       "2      NaN       NaN        NaN  ...   NaN      NaN         NaN   \n",
       "3      NaN       NaN        NaN  ...   NaN      NaN         NaN   \n",
       "4      NaN       NaN        NaN  ...   NaN      NaN         NaN   \n",
       "\n",
       "   IndexedFinance  SmoothyFinance  Unifi  HashFlow     Aggregate  \\\n",
       "0             NaN             NaN    NaN       NaN  3.960841e+07   \n",
       "1             NaN             NaN    NaN       NaN  9.520394e+07   \n",
       "2             NaN             NaN    NaN       NaN  1.200412e+08   \n",
       "3             NaN             NaN    NaN       NaN  1.852384e+08   \n",
       "4             NaN             NaN    NaN       NaN  2.564029e+08   \n",
       "\n",
       "            AMM           LOB  \n",
       "0  9.734753e+05  3.863494e+07  \n",
       "1  1.197600e+07  8.322794e+07  \n",
       "2  1.669155e+07  1.033497e+08  \n",
       "3  3.538797e+07  1.498504e+08  \n",
       "4  4.679524e+07  2.096076e+08  \n",
       "\n",
       "[5 rows x 43 columns]"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "## ==========================================================\n",
    "#    Code for \"Coexisting Exchange Platform\"\n",
    "#    Generating Figure 1 in the main text\n",
    "## ==========================================================\n",
    "\n",
    "\n",
    "%reset -f\n",
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "import pandas as pd\n",
    "import time\n",
    "\n",
    "#workdir = ''\n",
    "data = pd.read_csv(workdir)\n",
    "agg = np.array(data[\"Aggregate\"])\n",
    "lob = np.array(data[\"LOB\"])\n",
    "amm = np.array(data[\"AMM\"])\n",
    "Uniswap = np.array(data[\"Uniswap\"])\n",
    "Time = len(Uniswap)\n",
    "time = pd.date_range('2019-01', periods=Time, freq='M')\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 59,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "<ipython-input-59-eba3cf6e014f>:7: MatplotlibDeprecationWarning: Saw kwargs ['mfc', 'markerfacecolor'] which are all aliases for 'markerfacecolor'.  Kept value from 'markerfacecolor'.  Passing multiple aliases for the same property will raise a TypeError in 3.3.\n",
      "  ax.plot(time,lob/den,color='b', marker='^', linestyle='solid',  mfc='none', mec='b',\\\n",
      "<ipython-input-59-eba3cf6e014f>:9: MatplotlibDeprecationWarning: Saw kwargs ['mfc', 'markerfacecolor'] which are all aliases for 'markerfacecolor'.  Kept value from 'markerfacecolor'.  Passing multiple aliases for the same property will raise a TypeError in 3.3.\n",
      "  ax.plot(time,amm/den,color='r', marker='o', linestyle='solid',  mfc='none', mec='r',\\\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n",
      "The PostScript backend does not support transparency; partially transparent artists will be rendered opaque.\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 800x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "den = 10.0**9 # normalize by $B\n",
    "\n",
    "# plot Figure 1`\n",
    "fig = plt.figure(figsize=(8,5))\n",
    "ax = fig.add_subplot(111)\n",
    "ax.bar(time,agg/den,width=20,color='black',alpha = 0.65,label=r'${Aggregate}$')\n",
    "ax.plot(time,lob/den,color='b', marker='^', linestyle='solid',  mfc='none', mec='b',\\\n",
    "        markersize=7, markerfacecolor='white',linewidth=2.0,label=r'${Order\\ book\\ market}$')\n",
    "ax.plot(time,amm/den,color='r', marker='o', linestyle='solid',  mfc='none', mec='r',\\\n",
    "        markersize=7, markerfacecolor='white',linewidth=2.0,label=r'${Automated\\ market\\ makers}$')\n",
    "ax.set_xlim([time[8],time[Time-2]])\n",
    "ax.grid(alpha=0.25)\n",
    "ax.set_ylabel('Monthly USD Volume',fontsize=12)\n",
    "ax.set_title(r'$\\rm{Monthly\\ Trading\\ Volumes\\ on\\ DEXs\\ (\\$1B)}$',fontsize=14)\n",
    "ax.legend(loc = 2,fontsize=12)\n",
    "\n",
    "# saving fig in \n",
    "#directory = ''\n",
    "filename = 'Fig_01.eps'\n",
    "save_path = f'{directory}/{filename}'\n",
    "plt.savefig(save_path)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.3"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 1
}
